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tiya1012/
vit-base-beans-55

Name: vit-base-beans-55
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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vit-base-beans-55

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0704
Accuracy: 0.9774

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1056	1.54	100	0.0946	0.9774
0.0322	3.08	200	0.0704	0.9774

Framework versions

Transformers 4.30.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.13.3

tiya1012/vit-base-beans-55

vit-base-beans-55

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tiya1012/
vit-base-beans-55